Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -2.3 * weight + 199
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KARSTENS Gerben | 74 |
| 8 | JANSSEN Jan | 76 |
| 12 | SAÉZ Ramón | 74 |
| 13 | DOLMAN Evert | 71 |
| 16 | SCHUTZ Edy | 72 |
| 17 | MOMEÑE José Antonio | 61 |
| 24 | NIJDAM Henk | 75 |
| 41 | POULIDOR Raymond | 71 |
| 55 | DÍAZ Mariano | 63 |
| 60 | DÍAZ Ventura | 72 |
| 65 | SCHLECK Johny | 72 |
| 66 | SIMPSON Tom | 69 |
| 79 | GRACZYK Jean | 70 |
| 82 | VIGNA Marino | 67 |